Leader of Technical assessment of AI
Leader of Technical assessment of AI
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Job Description
Job Description & Summary
About the team
Our Data & AI is a dynamic group of consultants subject matter experts and developers leading the way in delivering AI trust governance design strategy and development services. We operate in a flat culture with a start-up mindset fostering open and transparent communication. We serve both the Czech market and cross-border clients making us a truly international team.
About the manager
Job description & summary
We are seeking an experienced leader to head the Technical Assessment of AI within our regional AI team driving the strategic initiative of a new business stream Technical assessment of AI. This role requires visionary leadership and communication skills besides the required technical background. Key success factor is the ability to foster collaboration across the BAS CEE network. You will:
Lead team(s) performing the technical review testing and validation of AI systems to ensure they perform as expected and intended including:
- Conduct thorough assessments of AI system architectures and designs identifying potential risks or biases.
- Perform functional performance and stress testing to evaluate system efficiency and robustness.
- Ensure the accuracy and reliability of AI system outputs through rigorous validation techniques.
- Oversee compliance checks with industry regulations ethical guidelines and data privacy requirements.
Develop risk assessment strategies to identify and mitigate potential issues with AI system deployment.
Collaborate with PwC Legal on services around Responsible AI regulations such as the EU AI Act similar to previous cooperation for GDPR.
Engage with local and global start-up scenes research and academia to share thought leadership on AI technical assessments.
Utilize a technology-first hands-on approach to deliver practical solutions backed by strong technologies and custom frameworks.
Requirements of the role
Technical expertise and experience in Data & AI with a focus on AI assurance services.
In-depth understanding of data and AI architecture including data pipelines integration and the lifecycle of AI models from development to deployment.
Proficiency in using AI tools and systems such as TensorFlow PyTorch or similar frameworks with the ability to evaluate their performance and ensure they meet business requirements.
Knowledge of best practices for AI quality assurance including implementing strategies for continuous monitoring error detection and bias mitigation in AI outputs.
Strong leadership skills and experience the capability to manage multiple projects across EMEA.
Excellent communication and interpersonal abilities.
Experience in engaging with research and academia to drive innovation and thought leadership.
Our Benefits and Fun
Concentrated experience and rapid career growth. It may sound like a platitude but it really is.
Flexible working hours.
Fairsalary plus paid overtime andannualbonus.
Paid time off 20 10 days 3 wellbeing days and 2 extra days off from the company at the end of the year.
High-end Ultrabook and iPhone with unlimited data.
Benefitprogram with 55.000 points that you can use for holidays education food vouchers sports health... Simply on what you enjoy.
Opportunity to work in the future at a foreign PwC office for example in the USA Canada and there are others in theselection.
Regular feedback on your work also consultation with a coach with whom you can address your further development and career direction.
Check us outon:Digital Enablement
PwCisthelargestaudit team intheCzech Republic butalsolaw taxconsultingand partofaninternationalnetworkofcompanieswithmorethan364000colleaguesin PwCwecreateaninclusiveworkenvironmentwhereeveryonecanbethemselvesandfindtheirplace year we have successfullymaintainedthe prestigious Equal PayCertification making us one of only four companies in the Czech Republic (and the only one from the Big 4) that demonstrably implements fair compensation practices regardless of gender.
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Employment Type
Full-Time
